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connerlambden/helium-mcp

by Various

MCP server for real-time news with bias scoring, live stock/ETF/crypto data, AI options pricing, balanced news synthesis, and meme search. 10 tools, 5000+ sources, free tier.

C

MCP

connerlambden/helium-mcp

Added 1 June 2026

#ai #bias-detection #claude #copilot #crypto #cursor #financial-data #machine-learning

Overview

Helium MCP is a server that aggregates real-time news from over 5000 sources, scoring each article for political bias and offering a balanced synthesis. It also provides live stock, ETF, and crypto data, AI-based options pricing, and a meme search tool. The server exposes 10 tools and includes a free tier.

Best for

Best for
Developers who need a lightweight MCP plugin for real-time financial news with bias analysis and market data

Use cases

  • Fetching and filtering financial news by bias score
  • Querying live prices for stocks, ETFs, and cryptocurrencies
  • Building a dashboard that combines market data with synthesized news summaries

Notes

Helium MCP is a server that aggregates real-time news from over 5000 sources, scoring each article for political bias and offering a balanced synthesis. It also provides live stock, ETF, and crypto data, AI-based options pricing, and a meme search tool. The server exposes 10 tools and includes a free tier.

6 stars on GitHub. Last updated 2026-05-27. Licensed MIT.

Use cases

  • Fetching and filtering financial news by bias score
  • Querying live prices for stocks, ETFs, and cryptocurrencies
  • Building a dashboard that combines market data with synthesized news summaries

Pros

  • Wide source coverage with 5000+ news sources
  • Bias scoring and balanced synthesis help reduce echo chambers
  • Free tier available for testing and small-scale use

Cons

  • Very early project (6 GitHub stars) with limited community support
  • Requires an MCP client to integrate, adding a dependency
  • Only available as a JavaScript/Node.js server

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Wide source coverage with 5000+ news sources
  • Bias scoring and balanced synthesis help reduce echo chambers
  • Free tier available for testing and small-scale use

Cons

  • Very early project (6 GitHub stars) with limited community support
  • Requires an MCP client to integrate, adding a dependency
  • Only available as a JavaScript/Node.js server